Biomedical Image

      Preliminary state of the art biomedical image process creates a visual representation of “insight” of living things and human bodies. By means of covering a diverse range of established clinical imaging techniques (i.e., ultrasounic imaging, MRI, PET, CT, and so on), emerging clinical imaging techniques (i.e., elastography, EMA, dynamic PET, hyperpolarised MRI, and so on), and these combination, for structural and functional image analyses, the development and reinforcement for demanding methodology of biomedical image process dramatically rely on the participants with interdisciplinary knowledge from advanced engineering to fundamental science and extensive experience on morphological analysis. Therefore, underpinning much of the research is the need of human resource and collaboration.
      The research group of biomedical image processing with Shing-Tung Yau center so far has long term collaborations with several vital academic and research organizations: Harvard University, National Chiao-Tung University, National Yang-Ming Hospital, Taipei Veterans General Hospital, and so forth. The research goals will be focusing on the 3-dimensional image modeling and geometrical feature extraction, and the developing techniques will be included 3D Tomography Reconstruction, Geometric Feature Selection, Dimension Reduction, Manifold Learning, Pattern Recognition, Biomedical Image Expert Systems.

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